We can now use these expressions and visualise the results on a map. I’ve taken a selection of houses where the nearest train station was Northcote. The first (zoomed out map) has an overlaid layer showing the locations of all the Melbourne metropolitan stations (cyan), together with a red group for those nearest to Northcote.
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The second zoomed in map shows cyprus mobile numbers the small number of sold houses nearest to Northcote station. The mouse is hovering over the blue circle of Northcote station, and the supplementary information in the tooltip was information that we scraped about this particular station.
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We could have tailored this map further to colour the circles by different house price bands, or house types.
Conclusions
In this blog we‘ve described several examples of how the location expressions in FastStats can be used in different analytical scenarios. Your analysis may require the use of locations that are relevant to your business and that you have full knowledge of, such as your store locations.
Alternatively, you may need to go out and obtain the data you need from one of the many open data sources that are available. For example, the UK government has published a full list of public transport stops for your particular requirements (e.g. find all UK airports/train stations/underground stations etc). If the location data you need isn’t readily available, then you’ll need to put in more effort to get it.